Ahmed A.

Computer Engineering professional whose career is defined by the development and deployment of production-grade AI systems and cloud-native architectures. He has demonstrated extensive expertise in building complex platforms, including an Enterprise AI Document Intelligence system utilizing Agentic RAG with Qwen 2.5 and the THOTH AI Learning Platform, which orchestrates event-driven microservices via Apache Kafka and Kubernetes on AWS. His engineering portfolio extends into the physical realm with a ROS-based autonomous safety guard robot that leverages YOLO computer vision to reduce hazard response times by 60%. Ahmed further excels in high-performance algorithmic work, having developed hybrid CNN-RNN pipelines for real-time video surveillance and optimized quantum circuits to achieve an $O(\log N)$ depth for Fermionic Fast Fourier Transforms. By integrating modern web stacks like Angular 18 and FastAPI with LLM-powered backends, he consistently bridges the gap between sophisticated research and scalable, user-centric software solution